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Exploring Neural Entity Representations for Semantic Information
AndrewRunge, EduardHovy....
Published date-11/17/2020
EntityLinking
Neural methods for embedding entities are typically extrinsically evaluated on downstream tasks and, more recently, intrinsically using probing tasks. Downstream task-based comparisons are often difficult to interpret due to differences …
SamWalker++: recommendation with informative sampling strategy
CanWang, JiaweiChen, ShengZhou....
Published date-11/16/2020
RecommendationSystems
Recommendation from implicit feedback is a highly challenging task due to the lack of reliable negative feedback data. Existing methods address this challenge by treating all the un-observed data as …
A New Dataset and Proposed Convolutional Neural Network Architecture for Classification of American Sign Language Digits
ArdaMavi....
Published date-11/16/2020
In our interviews with people who work with speech impaired persons, we learned that speech impaired people have difficulties in communicating with other people around them who do not know …
Hierarchical clustering in particle physics through reinforcement learning
JohannBrehmer, SebastianMacaluso, DuccioPappadopulo....
Published date-11/16/2020
Clustering
Particle physics experiments often require the reconstruction of decay patterns through a hierarchical clustering of the observed final-state particles. We show that this task can be phrased as a Markov …
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective
DavidGillespie, ConnahKendrick, IanBoon....
Published date-11/16/2020
Prostate radiotherapy is a well established curative oncology modality, which in future will use Magnetic Resonance Imaging (MRI)-based radiotherapy for daily adaptive radiotherapy target definition. However the time needed to …
On the equivalence of molecular graph convolution and molecular wave function with poor basis set
MasashiTsubaki, TeruyasuMizoguchi....
Published date-11/16/2020
In this study, we demonstrate that the linear combination of atomic orbitals (LCAO), an approximation of quantum physics introduced by Pauling and Lennard-Jones in the 1920s, corresponds to graph convolutional …